Personality Profiles of Undergraduate and Graduate Students in Rehabilitation Counselling and Services

2009 ◽  
Vol 15 (2) ◽  
pp. 92-106
Author(s):  
Lee Za Ong ◽  
David Peterson ◽  
Julie A. Chronister ◽  
Chung-Yi Chui ◽  
Fong Chan
Keyword(s):  
Cluster Analysis ◽  
Graduate Students ◽  
Case Manager ◽  
Personality Characteristics ◽  
Cluster Solution ◽  
Personality Profiles ◽  
Job Roles ◽  
Neo Five Factor Inventory ◽  
Therapist Personality

AbstractThis study examined personality characteristics of undergraduate and graduate students in rehabilitation counselling programs. Cluster analysis of 204 NEO Five-Factor Inventory (NEO-FFI) personality profiles of these students indicated a three-cluster solution as optimal. These three personality clusters were identified as the Therapist Personality cluster, Case Manager Personality cluster, and the Sensitive Personality cluster. Implications for rehabilitation job roles, rehabilitation education, and counselling are discussed.

scholarly journals Analysis of Personality Traits in Patients with Hodgkin Lymphoma

2021 ◽  
Vol 10 (8) ◽  
pp. 1631
Author(s):  
Fatima Roso-Bas ◽  
Maria Dolores Alonso-Llobregat ◽  
Leyre Bento ◽  
Blanca Sanchez-Gonzalez ◽  
Ines Herraez ◽  
...  
Keyword(s):  
Personality Traits ◽  
Hodgkin Lymphoma ◽  
Mental Illnesses ◽  
Response To Treatment ◽  
Personality Profiles ◽  
University Hospitals ◽  
Distribution Width ◽  
Potential Link ◽  
Proinflammatory Activity ◽  
Neo Five Factor Inventory

Hodgkin lymphoma (HL) is a highly-curable malignancy mostly affecting young people. As far as we know, there is no published study that has analyzed personality profiles in HL nor their potential role in lymphomagenesis, natural history, or response to treatment. We aim to explore the personality traits of HL patients, as well as the prevalence of mental disorders and suicide ideas. We retrospectively identified all alive HL patients from three centers (Son Espases and Son Llatzer University Hospitals and Hospital del Mar of Barcelona) for using NEO Five-Factor Inventory (NEO-FFI) and Personality Inventory for DSM-5 Brief Form. Patients with HL showed significantly higher neuroticism scores and lower conscientiousness, extraversion, and openness. Considering maladaptive personality traits, HL patients showed higher levels of detachment and psychoticism. All of these translated into the fact that HL patients showed more than double the prevalence of mental illnesses (41%) and more than triple the prevalence of suicidal ideation or attempts than the general population (15 and 6%, respectively). An exploratory analysis of biomarkers associated with HL personality traits showed that higher scores of neuroticism correlated with more elevated erythrocyte sedimentation rate (ESR) and red cell distribution width (RDW), suggesting a potential link between neuroticism and proinflammatory activity in HL.

scholarly journals Neuroticism alters the transcriptome of the frontal cortex to contribute to the cognitive decline and onset of Alzheimer’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Céline H. De Jager ◽  
Charles C. White ◽  
David A. Bennett ◽  
Yiyi Ma
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Brain Regions ◽  
Personality Characteristics ◽  
Tau Pathology ◽  
Postmortem Human Brain ◽  
Brain Transcriptome ◽  
Neo Five Factor Inventory ◽  
The Impact

AbstractAccumulating evidence has suggested that the molecular transcriptional mechanism contributes to Alzheimer’s disease (AD) and its endophenotypes of cognitive decline and neuropathological traits, β-amyloid (Aβ) and phosphorylated tangles (TAU). However, it is unknown what is the impact of the AD risk factors, personality characteristics assessed by the NEO Five-Factor Inventory, on the human brain’s transcriptome. Using postmortem human brain samples from 466 subjects, we found that neuroticism has a significant overall impact on the brain transcriptome (omnibus P = 0.005) but not the other four personality characteristics. Focused on those cognitive decline related gene co-expressed modules, neuroticism has nominally significant associations (P < 0.05) with four neuronal modules, which are more related to PHFtau than Aβ across all eight brain regions. Furthermore, the effect of neuroticism on cognitive decline and AD might be mediated through the expression of module 7 and TAU pathology (P = 0.008). To conclude, neuroticism has a broad impact on the transcriptome of human brains, and its effect on cognitive decline and AD may be mediated through gene transcription programs related to TAU pathology.

scholarly journals An Analysis of Heterogeneity in German Speaking Birdwatchers Reveals Three Distinct Clusters and Gender Differences

Birds ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 250-260
Author(s):  
Christoph Randler
Keyword(s):  
Cluster Analysis ◽  
Optimal Solution ◽  
Social Bonding ◽  
Cluster Solution ◽  
Novice Group ◽  
Wide Range ◽  
German Speaking ◽  
Group Members ◽  
Bird Group ◽  
And Gender

The purpose of this study was to segment birdwatchers into clusters. Members from a wide range of bird related organizations, from highly specialized birders as well as Facebook bird group members were studied to provide a diverse dataset (n = 2766; 50.5% men). Birding specialization was measured with a battery of questionnaires. Birding specialization encompassed the three constructs of skill/competence, behavior, personal and behavioral commitment. Additionally, involvement, measured by centrality to lifestyle, attraction, social bonding, and identity, was used. The NbClust analyses showed that a three-cluster solution was the optimal solution. Then, k-means cluster analysis was applied on three groups: casual/novice, intermediate, and specialist/advanced birdwatchers. More men than women were in the specialist/advanced group and more women than men in the casual/novice group. As a conclusion, this study confirms a three-cluster solution for segmenting German birdwatchers based on a large and diverse sample and a broad conceptualization of the construct birding specialization. These data can be used to address different target audiences (novices, advanced birders) with different programs, e.g., in nature conservation.

scholarly journals Solitude, Silence, and the Training of Psychotherapists: A Preliminary Study

2001 ◽  
Vol 29 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Jeffrey B. Vanmeter ◽  
Mark R. McMinn ◽  
Leslie D. Bissell ◽  
Mahinder Kaur ◽  
Jana D. Pressley
Keyword(s):  
Graduate Students ◽  
Training Program ◽  
Graduate Training ◽  
Total Duration ◽  
Spiritual Disciplines ◽  
Personality Characteristics ◽  
Wait List Control ◽  
Striking Increase ◽  
Preliminary Study ◽  
Research Questions

The spiritual disciplines of silence and solitude have long been practiced within the contemplative Christian tradition as a means of character transformation and experiencing God. Do these disciplines affect the use of silence in psychotherapy for Christian clinicians in a graduate training program? Nineteen graduate students in clinical psychology were assigned to a wait-list control condition or a training program involving the disciplines of solitude and silence, and the groups were reversed after the first cohort completed the spiritual disciplines training. One group, which was coincidentally comprised of more introverted individuals, demonstrated a striking increase in the number of silent periods and total duration of silence during simulated psychotherapy sessions during the period of training. The other group, more extraverted in nature, did not show significant changes in therapeutic silence during the training. These results cause us to pose research questions regarding the interaction of personality characteristics and spiritual disciplines in training Christian psychotherapists.

A taxonomy of the scope and organization of local sexually transmitted disease services for policy and practice

2018 ◽  
Vol 29 (14) ◽  
pp. 1375-1383
Author(s):  
Hector P Rodriguez ◽  
Summer Starling ◽  
Zosha Kandel ◽  
Robert Weech-Maldonado ◽  
Nicholas J Moss ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Critical Role ◽  
Transmitted Disease ◽  
The United States ◽  
Incidence Rates ◽  
Contact Tracing ◽  
Cluster Solution ◽  
Local Health ◽  
Sexually Transmitted

Local health departments (LHDs) and their organizational partners play a critical role in controlling sexually transmitted diseases (STDs) in the United States. We examine variation in the differentiation, integration, and concentration (DIC) of STD services and develop a taxonomy describing the scope and organization of local STD services. LHD STD programs (n = 115) in Alabama (AL) and California (CA) responded to surveys assessing STD services available in 2014. K-means cluster analysis identified LHD groupings based on DIC variation. Discriminant analysis validated cluster solutions. Differences in organizational partnerships and scope of STD services were compared by taxonomy category. Multivariable regression models estimated the association of the STD services organization taxonomy and five-year (2010–2014) gonorrhea incidence rates, controlling for county-level sociodemographics and resources. A three-cluster solution was identified: (1) low DIC (n = 74), (2) moderate DIC (n = 31), and (3) high DIC (n = 10). In discriminant analysis, 95% of jurisdictions were classified into the same types as originally assigned through K-means cluster analysis. High DIC jurisdictions were more likely (p < 0.001) to partner with most organizations than moderate and low DIC jurisdictions, and more likely (p < 0.001) to conduct STD needs assessment, comprehensive sex education, and targeted screening. In contrast, contact tracing, case management, and investigations were conducted similarly across jurisdictions. In adjusted analyses, there were no differences in gonorrhea incidence rates by category. Jurisdictions in CA and AL can be characterized into three distinct clusters based on the DIC of STD services. Taxonomic analyses may aid in improving the reach and effectiveness of STD services.

scholarly journals Using Clustering as a Tool: Mixed Methods in Qualitative Data Analysis

2015 ◽  
Author(s):  
Laura Macia
Keyword(s):  
Cluster Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Qualitative Data ◽  
Similarity Measures ◽  
Cluster Solution ◽  
Clustering Methods ◽  
Qualitative Data Analysis ◽  
Research Project ◽  
Detailed Explanation

In this article I discuss cluster analysis as an exploratory tool to support the identification of associations within qualitative data. While not appropriate for all qualitative projects, cluster analysis can be particularly helpful in identifying patterns where numerous cases are studied. I use as illustration a research project on Latino grievances to offer a detailed explanation of the main steps in cluster analysis, providing specific considerations for its use with qualitative data. I specifically describe the issues of data transformation, the choice of clustering methods and similarity measures, the identification of a cluster solution, and the interpretation of the data in a qualitative context.

Analysis of the Relations between Personality Characteristics and Education Majors' Sex and Grade-Level Focus

1989 ◽  
Vol 64 (2) ◽  
pp. 583-589
Author(s):  
Stephen J. Jenkins ◽  
Gary L. Fisher ◽  
Roy L. Applegate
Keyword(s):  
Grade Level ◽  
Personality Characteristics ◽  
Education Majors ◽  
California Psychological Inventory ◽  
Personality Profiles ◽  
Teaching Activities ◽  
Secondary Teaching ◽  
Edwards Personal Preference Schedule ◽  
Discriminant Analyses ◽  
Psychological Inventory

Personality profiles of education majors were compared using the California Psychological Inventory and Edwards Personal Preference Schedule. Discriminant analyses indicated significant differences on selected scales for men ( n = 50) and women ( n = 112) and for those interested in elementary and secondary teaching. These findings are discussed in terms of their relevance to the future teaching activities of education majors.

“Money Worlds” and Wellbeing

2018 ◽  
pp. 74-101
Author(s):  
Leisa Reinecke Flynn ◽  
Ronald Earl Goldsmith ◽  
Michael Brusco
Keyword(s):  
Cluster Analysis ◽  
Consumer Culture ◽  
The Other ◽  
Price Sensitivity ◽  
Cluster Solution ◽  
Status Consumption ◽  
Brand Engagement ◽  
Attitudes And Behaviors ◽  
And Behaviors

Tatzel proposed a theory of money worlds and wellbeing comprised of four prototypical consumer patterns based on whether consumers are high/low on materialism and simultaneously tight or loose with money. Tatzel proposes that the four prototypes (value-seekers, non-spenders, big-spenders, and experiencers) differ strikingly along many values, attitudes, and behaviors. This study uses data from 1,016 U.S. student consumers to test empirically the typology and differences. A cluster analysis confirmed that a four-cluster solution best represented the data, supporting Tatzel's model. Subsequent ANOVAs showed that two of the four groups differed predictably in the hypothesized directions. Significant differences between big-spenders and non-spenders appeared in levels of price sensitivity, status consumption, generosity, brand engagement, worry about debt, and spending. The other two groups, value-seekers and experiencers, fell between them. The findings partially confirm Tatzel's theory and suggest that “money worlds” are one way of conceptualizing consumer culture.

scholarly journals Perfiles de personalidad y síndromes clínicos en personas sin hogar

2017 ◽  
Vol 22 (3) ◽  
pp. 197
Author(s):  
Jose M. Rodríguez-Pellejero ◽  
Juan L. Núñez ◽  
Débora Hernández
Keyword(s):  
Cluster Analysis ◽  
Social Exclusion ◽  
Health Resources ◽  
Homeless Persons ◽  
Thought Disorder ◽  
Personality Profiles ◽  
Evaluation Period ◽  
Clinical Syndromes ◽  
Personality Patterns ◽  
The Relationship

Abstract: Personality profiles and clinical syndromes in the homeless . The aims of this study were to analyze in a sample of homeless persons the prevalence of clinical personality patterns and clinical syndromes, to examine the relationship between the two, and to identify common personality profiles. Participants were 144 subjects, 35 women and 109 men, with a mean age of 42 years, all in a situation of chronic social exclusion, 67% were homeless for more than a year, and 33% more than three years. During the evaluation period they resided in a shelter for the homeless. Results showed that clinical personality patterns and clinical syndromes with higher prevalence, according to Millon’s model, were respectively: depressive, narcissistic and paranoid, as well as anxiety, drug dependence and thought disorder. In addition, cluster analysis classified subjects into two groups "narcissistic-adaptive" and "depressive-paranoid". These results suggest that treatment and health resources should be adapted based on psychiatric deterioration, considering the homeless as a heterogeneous group with different psychosocial needs.Resumen: Los objetivos de este trabajo fueron: analizar la prevalencia de patrones clínicos de personalidad y de síndromes clínicos, examinar la relación entre ambos e identificar perfiles de personalidad comunes en una muestra de personas sin hogar. Los participantes fueron 144 sujetos, 35 mujeres y 109 hombres, con una media de edad de 42 años, todos ellos en una situación de exclusión social crónica, el 67% llevaba sin hogar un periodo de tiempo superior a un año, y el 33% más de tres años. Durante el periodo de evaluación residían en un albergue para personas sin hogar. Los resultados mostraron que los patrones clínicos de personalidad y los síndromes clínicos de mayor prevalencia, de acuerdo al modelo de Millon, fueron: depresivo, narcisista y paranoide, así como la ansiedad, la drogodependencia y el trastorno del pensamiento, respectivamente. Además, el análisis de cluster clasificó a los sujetos en dos grupos “narcisista-adaptativo” y “depresivo-paranoide”. Estos resultados sugieren que se deben adaptar los tratamientos y recursos sanitarios en función del deterioro psiquiátrico, considerando a las personas sin hogar como un colectivo heterogéneo con necesidades psicosociales diferentes.

scholarly journals 0577 Cluster Analysis for the Association Between Obstructive Sleep Apnea Phenotypes: A Population-Based Longitudinal Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A221-A221
Author(s):  
P F Tempaku ◽  
L O Silva ◽  
T M Guimaraes ◽  
T A Vidigal ◽  
V D’Almeida ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Latent Class ◽  
Cluster Solution ◽  
Optimal Care ◽  
Sleep Study ◽  
Disturbed Sleep ◽  
Obstructive Sleep

Abstract Introduction The identification of subgroups of obstructive sleep apnea (OSA) is critical to understand disease causality and ultimately develop optimal care strategies customized for each subgroup. In this sense, we aimed to perform a cluster analysis to identify subgroups of individuals with OSA based on clinical parameters. Furthermore, we aimed to analyze whether subgroups remain after 8 years. Methods We used data derived from the Sao Paulo Epidemiologic Sleep Study (EPISONO) cohort, which was followed over 8 years. All individuals underwent polysomnography, answered questionnaires and had their blood collected for biochemical exams. OSA was defined according to an AHI equal or greater than 15 events per hour. Cluster analysis was performed using latent class analysis (LCA). Results Of the 1,042 individuals in the EPISONO baseline cohort, 68.3% accepted to participate in the follow-up study (n=712). We were able to replicate the OSA 3-cluster solution observed in previous studies: disturbed sleep, minimally symptomatic and excessively sleepy in both baseline (35.5%, 45.4% and 19.1%, respectively) and follow-up studies (41.9%, 43.4% and 14.8%, respectively). 44.8% of the participants migrated clusters between the two evaluations and the factor associated with this was a greater delta-AHI (B=-0.033, df=1, p=0.003). The optimal cluster solution for our sample based on Bayesian information criterion (BIC) was 2 clusters for baseline (disturbed sleep and excessively sleepy) and 3 clusters for follow-up (disturbed sleep, minimally symptomatic and excessively sleepy). Conclusion The results found replicate and confirm previously identified clinical clusters in OSA even in a longitudinal analysis. Support This work was supported by grants from AFIP, FAPESP and CAPES.

Sign in / Sign up

Export Citation Format

Share Document